Meta
ASIC Engineer, Design Verification
$114K–$172K
Sunnyvale, CA +1 · Full-time · Posted Jun 24, 2026
- Location
- Sunnyvale, CA
Austin, TX - Experience
- 2+ years in each of the two verification areas specified in the qualifications.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed prior to joining Meta.
About the job
Verifies ASIC IP and SoC designs for data center applications, from test planning and testbench development through coverage-driven closure and debug.
What you'll do
- Define verification plans and build testbenches for blocks, IP, subsystems, and SoCs; develop functional tests.
- Drive verification closure using test-plan metrics, functional coverage, and code coverage; debug and resolve design failures with Design teams.
- Collaborate with Design, Model, Emulation, and Silicon Validation teams to meet design-quality goals.
What they ask for
- 2+ years of hands-on experience in SystemVerilog/UVM methodology or C/C++-based verification.
- 2+ years of block/IP/subsystem and/or SoC verification using SystemVerilog UVM/OVM methodologies.
- Experience with EDA tools and verification scripting, revision control systems, and developing UVM verification environments from scratch.
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; degree must be completed before joining.
Nice to have
- Experience with high-speed interfaces such as PCIe, DDR, or Ethernet; ARM/RISC-V subsystems; or data-center designs such as Video, AI/ML, and Networking.
- Experience architecting verification infrastructure and executing the full verification cycle; track record of first-pass ASIC success.
Pay
USD $114,000/year to $172,000/year (base salary); bonus and equity are also stated, with no amounts specified.
Tools
SystemVerilog, UVM, C/C++, Python, TCL, Perl, Shell, Mercurial(Hg), Git or SVN
AI focus
Verification of data-center designs including Artificial Intelligence/Machine Learning (AI/ML).
Model-written summary · the original posting is authoritative